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Automation and aging: The impact on older workers in the workforce

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  • Aisa, Rosa
  • Cabeza, Josefina
  • Martin, Jorge

Abstract

Developed countries are seeing advances in automation and, at the same time, their populations are aging. In this paper we examine both phenomena using the delay in retirement age as a nexus. Although automation is freeing workers from repetitive, hard work, older workers feel threatened by new automation advances which generate skill mismatches. Two links are highlighted: First, since skill mismatches affect low-skilled older workers more than those who are highly skilled, the latter will remain active for a longer period of time while the former will be pushed to retire. Second, the highly skilled workers who decide to prolong their working lives are a valuable resource for further automation advances because this technology continues to need human-assisted solutions. Our analysis establishes an important role for adult training to fill the gap between initial education and the demands of a rapidly changing labor market in order to encourage individuals to postpone their retirement and, hence, to ensure the sustainability of the social insurance system.

Suggested Citation

  • Aisa, Rosa & Cabeza, Josefina & Martin, Jorge, 2023. "Automation and aging: The impact on older workers in the workforce," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).
    • Handle: RePEc:eee:joecag:v:26:y:2023:i:c:s2212828x23000361
    DOI: 10.1016/j.jeoa.2023.100476
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    as
    1. Benoit Dostie, 2011. "Wages, Productivity and Aging," De Economist, Springer, vol. 159(2), pages 139-158, June.
    2. Didier Fouarge & Trudie Schils & Andries de Grip, 2013. "Why do low-educated workers invest less in further training?," Applied Economics, Taylor & Francis Journals, vol. 45(18), pages 2587-2601, June.
    3. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    4. Martina Calzavara & Daria Battini & David Bogataj & Fabio Sgarbossa & Ilenia Zennaro, 2020. "Ageing workforce management in manufacturing systems: state of the art and future research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 58(3), pages 729-747, February.
    5. Annarita Baldanzi & Klaus Prettner & Paul Tscheuschner, 2019. "Longevity-induced vertical innovation and the tradeoff between life and growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(4), pages 1293-1313, October.
    6. Koichi Futagami & Kunihiko Konishi, 2019. "Rising longevity, fertility dynamics, and R&D-based growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(2), pages 591-620, April.
    7. Caliendo, Marco & Cobb-Clark, Deborah A. & Obst, Cosima & Uhlendorff, Arne, 2023. "Risk preferences and training investments," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 668-686.
    8. Ken-ichi Hashimoto & Ken Tabata, 2010. "Population aging, health care, and growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(2), pages 571-593, March.
    9. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    10. Arnaud Costinot & Iván Werning, 2023. "Robots, Trade, and Luddism: A Sufficient Statistic Approach to Optimal Technology Regulation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2261-2291.
    11. Christian Groth & Karl-Josef Koch & Thomas Steger, 2010. "When economic growth is less than exponential," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 44(2), pages 213-242, August.
    12. Andreas Irmen, 2021. "Automation, growth, and factor shares in the era of population aging," Journal of Economic Growth, Springer, vol. 26(4), pages 415-453, December.
    13. Xiaomeng Zhang & Theodore Palivos & Xiangbo Liu, 2022. "Aging and automation in economies with search frictions," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(2), pages 621-642, April.
    14. Ana Cardoso & Paulo Guimarães & José Varejão, 2011. "Are Older Workers Worthy of Their Pay? An Empirical Investigation of Age-Productivity and Age-Wage Nexuses," De Economist, Springer, vol. 159(2), pages 95-111, June.
    15. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    16. repec:taf:applec:45:y:2013:i:18:p:2587-2601 is not listed on IDEAS
    17. Joao Guerreiro & Sergio Rebelo & Pedro Teles, 2022. "Should Robots Be Taxed? [Skills, Tasks and Technologies: Implications for Employment and Earnings]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 279-311.
    18. Stähler, Nikolai, 2021. "The Impact of Aging and Automation on the Macroeconomy and Inequality," Journal of Macroeconomics, Elsevier, vol. 67(C).
    19. Börsch-Supan, Axel & Weiss, Matthias, 2016. "Productivity and age: Evidence from work teams at the assembly line," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 30-42.
    20. Dora Costa, 2002. "Changing chronic disease rates and longterm declines in functional limitation among older men," Demography, Springer;Population Association of America (PAA), vol. 39(1), pages 119-137, February.
    21. Reinhart, Vincent Raymond, 1999. "Death and taxes: their implications for endogenous growth," Economics Letters, Elsevier, vol. 62(3), pages 339-345, March.
    22. Song Zhang & Liang Han & Konstantinos Kallias & Antonios Kallias, 2021. "The value of in-person banking: evidence from U.S. small businesses," Review of Quantitative Finance and Accounting, Springer, vol. 57(4), pages 1393-1435, November.
    23. David Hémous & Morten Olsen, 2022. "The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(1), pages 179-223, January.
    24. Rosa Aísa & Fernando Pueyo & Marcos Sanso, 2012. "Life expectancy and labor supply of the elderly," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(2), pages 545-568, January.
    25. Ruhose, Jens & Thomsen, Stephan L. & Weilage, Insa, 2019. "The benefits of adult learning: Work-related training, social capital, and earnings," Economics of Education Review, Elsevier, vol. 72(C), pages 166-186.
    26. Thomas Zwick, 2015. "Training older employees: what is effective?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(2), pages 136-150, May.
    27. Daron Acemoglu & Pascual Restrepo, 2022. "Demographics and Automation [Automation and Demographic Change]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 1-44.
    28. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    29. Lee, Jong-Wha & Song, Eunbi & Kwak, Do Won, 2020. "Aging labor, ICT capital, and productivity in Japan and Korea," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    30. David Autor & David Dorn, 2009. "This Job Is "Getting Old": Measuring Changes in Job Opportunities Using Occupational Age Structure," American Economic Review, American Economic Association, vol. 99(2), pages 45-51, May.
    31. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    32. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    33. Ilmakunnas, Pekka & Miyakoshi, Tatsuyoshi, 2013. "What are the drivers of TFP in the Aging Economy? Aging labor and ICT capital," Journal of Comparative Economics, Elsevier, vol. 41(1), pages 201-211.
    34. Abeliansky, Ana Lucia & Prettner, Klaus, 2023. "Automation and population growth: Theory and cross-country evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 345-358.
    35. Grigoli, Francesco & Koczan, Zsoka & Topalova, Petia, 2020. "Automation and labor force participation in advanced economies: Macro and micro evidence," European Economic Review, Elsevier, vol. 126(C).
    36. Blanchard, Olivier J, 1985. "Debt, Deficits, and Finite Horizons," Journal of Political Economy, University of Chicago Press, vol. 93(2), pages 223-247, April.
    37. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    38. Casas, Pablo & Román, Concepción, 2023. "Early retired or automatized? Evidence from the survey of health, ageing and retirement in Europe," The Journal of the Economics of Ageing, Elsevier, vol. 24(C).
    39. Bernhard Mahlberg & Inga Freund & Alexia Prskawetz, 2013. "Ageing, productivity and wages in Austria: sector level evidence," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(4), pages 561-584, November.
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